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Data Loss Prevention (DLP) Analyst

Nightfall AIPalo AltoR&D
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
27 Nov 2025
Status
Open · checked 7d ago

About this role

The Data Loss Prevention Analyst position at Nightfall AI is a full-time, remote-friendly role based out of Palo Alto within the R&D department. This technical position suits security professionals with three to five years of industry experience who want to protect sensitive enterprise data and help clients operationalize data loss prevention.

Role Overview

As a Data Loss Prevention Analyst at Nightfall AI, the professional stands at the frontline of safeguarding sensitive customer data. This hands-on role combines technical proficiency, investigative capability, and customer focus to detect, analyze, and resolve data exfiltration incidents while keeping business operations productive. The analyst collaborates closely with client security teams to monitor data movement, tune detection rules, investigate security alerts, and deliver strategic guidance concerning insider threats. Balancing technical precision with sound business judgment is essential for determining whether an alert indicates a real security incident or normal business behavior.

Key Responsibilities

Monitor and analyze DLP alerts across endpoints, web browsers, SaaS platforms, and AI applications to uncover potential data exfiltration, policy violations, and insider threats.
Conduct real-time alert triage, separating false positives from true positives through behavioral context and sensitive findings analysis.
Perform forensic investigations into data loss incidents by examining user activity, movement patterns, and exfiltration channels like email, web uploads, removable storage, and GenAI tools.
Configure, maintain, and tune DLP policies based on compliance standards, data classification schemes, and organizational goals.
Serve as a technical advisor on data protection best practices, conducting operational reviews and educating client security teams.
Administer the DLP solution through agent deployment, integration setup, troubleshooting, and collaboration with internal engineering teams.
Compile executive reports tracking key metrics such as detection accuracy, false positive rates, and data risk reduction.

Requirements

Three to five years of general information security experience, featuring at least two years dedicated to data loss prevention, insider threats, or data protection.
Practical administration skills using enterprise DLP solutions, including policy configuration, rule tuning, agent management, and incident investigation.
Strong familiarity with data classification, sensitive information types like PII, PHI, PCI, IP, and credentials, alongside pattern matching and regex for content inspection.
Experience navigating incident response workflows, forensic investigation techniques, and event escalation procedures.
Knowledge of major compliance frameworks and regulations including GDPR, HIPAA, PCI-DSS, and SOX.
Technical familiarity with SIEM platforms, log analysis software, endpoint security across Windows and macOS, browser platforms, CASB solutions, and cloud application architectures.
Basic scripting capabilities utilizing Python, PowerShell, or Bash for automation and data analysis tasks.

Nice to Have

Prior background working with Nightfall, Cyberhaven, Code42, DTEX, Proofpoint, or related platforms.
Previous experience operating in a Security Operations Center, conducting threat hunting, or participating in blue team activities.
Familiarity with AI or machine learning-based detection systems.
Understanding of API security, OAuth flows, and SaaS integration architectures.
Contributions to the wider security community through blog posts, speaking engagements, or open-source projects.

Skills and Tools

Python
DLP Tools and Administration
SIEM and Log Analysis Software
Regular Expressions and Pattern Matching
Incident Response and Forensics
Endpoint and Cloud Security Frameworks

About the Company

Nightfall AI offers a unified, AI-native platform for data loss prevention and insider risk management designed to secure sensitive information across SaaS applications, GenAI tools, emails, and endpoints. Countless organizations, ranging from emerging AI innovators to prominent global banks, utilize the agentic platform to prevent data exfiltration at scale through automated remediation and in-the-moment user coaching. Backed by prominent venture capital firms and cybersecurity pioneers, Nightfall provides an inclusive, equal-opportunity workplace focused on merit, qualifications, and collaboration.

How to Apply

Interested candidates should visit the official company careers page to apply for the Data Loss Prevention Analyst position.

Skills and tech stack

Python

Questions candidates ask

What is the primary focus of the Data Loss Prevention Analyst role?

The analyst focuses on protecting sensitive customer data by monitoring security alerts, investigating data exfiltration incidents, tuning detection policies, and guiding client security teams.

How many years of experience are required for this position?

Candidates must have three to five years of experience in information security, with a minimum of two years specifically focused on data loss prevention, insider threats, or data protection.

Is this position eligible for remote work?

Yes, the role is remote-friendly and operates out of the Palo Alto office within the R&D department.

What technical skills are highlighted for this role?

Key technical skills include Python scripting, DLP platform administration, log analysis, SIEM familiarity, regex pattern matching, and endpoint security knowledge.

What compliance frameworks should candidates be familiar with?

Candidates should understand data protection requirements under compliance frameworks such as GDPR, HIPAA, PCI-DSS, and SOX.

Ready to apply?

The application is on the official Nightfall AI careers page.

Apply on company site